The average American spends over four hours on their smartphone every day, checking it as often as 150 times. That’s equivalent to two months per year spent scrolling, snapping, and shopping.
Using AI to make user experiences more intelligent, predictive and intuitive to consumer demand can lead to shorter sales funnels and faster lead conversion.
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It makes it easy to deploy new algorithms and experiments while keeping the same server architecture and APIs if your mobile app is hosted on this platform. Some of the AI-enhanced features it provides include:
According to Packtpub.com, companies currently using this platform to champion more fluid, intuitive user experiences include Alibaba (speaker recognition), and Google. So getting to the objective of this article, how does this impact audience growth on mobile apps or devices? AI is essentially adaptive. When you study the lifestyle behaviors associated with the use of a mobile phone, the customer journey is not linear and with that audiences demand different experiences at different points in their day. E.g. Someone who’s multi-lingual but who’s too tired to translate into their preferred second language, they’re able to access the site in their native tongue OR features like gesture recognition is now making social media selfies much easier without a click needed to take one. Making mobile app improvements like these can create positive outcomes such as greater brand and user trust, credibility and return visits
At this point, we should clarify that AI and ML intertwine with each other but are not the same. ML is a subset of AI. ML refers to systems that can learn by themselves. Deep Learning (DL) is ML but applied to large data sets. Most AI work now involves ML because intelligent behavior requires considerable knowledge, and learning is the easiest way to get that knowledge. Google’s ML Kit enables developers to:
Ever wondered if there’s a point in creating your own mobile app? What’s everyone doing on their phones? Well, 90% of mobile time is spent on apps. Microsoft Azure has a collection of APIs, SDKs, and services to enable developers to easily add cognitive features to their applications such as emotion and video detection, facial, speech, and vision recognition, just to name a few. Their features include:
If you’re looking to find new, organic ways to improve your mobile app performance throughout the year, be sure to reach out to our team for a complimentary growth marketing session. We’d be happy to walk you through how responsive design, visual storytelling, and engaging social media campaigns can take your brand’s success to the next level.